Mr Zhili Zheng
Postdoctoral Research Fellow
Institute for Molecular Bioscience
+61 7 334 62627
Journal Articles
Sun, Xiwei, Xue, Angli, Qi, Ting, Chen, Dan, Shi, Dandan, Wu, Yang, Zheng, Zhili, Zeng, Jian and Yang, Jian (2021). Tumor mutational burden is polygenic and genetically associated with complex traits and diseases. Cancer Research, 81 (5) canres.3459.2020, 12230-1239. doi: 10.1158/0008-5472.can-20-3459
Zeng, Jian, Xue, Angli, Jiang, Longda, Lloyd-Jones, Luke R., Wu, Yang, Wang, Huanwei, Zheng, Zhili, Yengo, Loic, Kemper, Kathryn E., Goddard, Michael E., Wray, Naomi R., Visscher, Peter M. and Yang, Jian (2021). Widespread signatures of natural selection across human complex traits and functional genomic categories. Nature Communications, 12 (1) 1164, 1-12. doi: 10.1038/s41467-021-21446-3
Kemper, Kathryn E., Yengo, Loic, Zheng, Zhili, Abdellaoui, Abdel, Keller, Matthew C., Goddard, Michael E., Wray, Naomi R., Yang, Jian and Visscher, Peter M. (2021). Phenotypic covariance across the entire spectrum of relatedness for 86 billion pairs of individuals. Nature Communications, 12 (1) 1050, 1050. doi: 10.1038/s41467-021-21283-4
Couvy‐Duchesne, Baptiste, Strike, Lachlan T., Zhang, Futao, Holtz, Yan, Zheng, Zhili, Kemper, Kathryn E., Yengo, Loic, Colliot, Olivier, Wright, Margaret J., Wray, Naomi R., Yang, Jian and Visscher, Peter M. (2020). A unified framework for association and prediction from vertex‐wise grey‐matter structure. Human Brain Mapping, 41 (14) hbm.25109, 4062-4076. doi: 10.1002/hbm.25109
Wu, Yang, Qi, Ting, Wang, Huanwei, Zhang, Futao, Zheng, Zhili, Phillips-Cremins, Jennifer E., Deary, Ian J., McRae, Allan F., Wray, Naomi R., Zeng, Jian and Yang, Jian (2020). Promoter-anchored chromatin interactions predicted from genetic analysis of epigenomic data. Nature Communications, 11 (1) 2061, 2061. doi: 10.1038/s41467-020-15587-0
Jiang, Longda, Zheng, Zhili, Qi, Ting, Kemper, Kathryn E., Wray, Naomi R., Visscher, Peter M. and Yang, Jian (2019). A resource-efficient tool for mixed model association analysis of large-scale data. Nature Genetics, 51 (12), 1749-1755. doi: 10.1038/s41588-019-0530-8
Lloyd-Jones, Luke R., Zeng, Jian, Sidorenko, Julia, Yengo, Loïc, Moser, Gerhard, Kemper, Kathryn E., Wang, Huanwei, Zheng, Zhili, Magi, Reedik, Esko, Tõnu, Metspalu, Andres, Wray, Naomi R., Goddard, Michael E., Yang, Jian and Visscher, Peter M. (2019). Improved polygenic prediction by Bayesian multiple regression on summary statistics. Nature Communications, 10 (1) 5086, 5086. doi: 10.1038/s41467-019-12653-0
Wu, Yeda, Byrne, Enda M., Zheng, Zhili, Kemper, Kathryn E., Yengo, Loic, Mallett, Andrew J., Yang, Jian, Visscher, Peter M. and Wray, Naomi R. (2019). Genome-wide association study of medication-use and associated disease in the UK Biobank. Nature Communications, 10 (1) 1891, 1891. doi: 10.1038/s41467-019-09572-5
Yengo, Loic, Sidorenko, Julia, Kemper, Kathryn E., Zheng, Zhili, Wood, Andrew R., Weedon, Michael N., Frayling, Timothy M., Hirschhorn, Joel, Yang, Jian and Visscher, Peter M. (2018). Meta-analysis of genome-wide association studies for height and body mass index in ∼700000 individuals of European ancestry. Human Molecular Genetics, 27 (20), 3641-3649. doi: 10.1093/hmg/ddy271
Xue, Angli, Wu, Yang, Zhu, Zhihong, Zhang, Futao, Kemper, Kathryn E., Zheng, Zhili, Yengo, Loic, Lloyd-Jones, Luke R., Sidorenko, Julia, Wu, Yeda, eQTLGen Consortium, McRae, Allan F., Visscher, Peter M., Zeng, Jian and Yang, Jian (2018). Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes. Nature Communications, 9 (1) 2941, 2941. doi: 10.1038/s41467-018-04951-w
Lee, James J., Wedow, Robbee, Okbay, Aysu, Kong, Edward, Maghzian, Omeed, Zacher, Meghan, Nguyen-Viet, Tuan Anh, Bowers, Peter, Sidorenko, Julia, Karlsson Linnér, Richard, Fontana, Mark Alan, Kundu, Tushar, Lee, Chanwook, Li, Hui, Li, Ruoxi, Royer, Rebecca, Timshel, Pascal N., Walters, Raymond K., Willoughby, Emily A., Yengo, Loïc, 23andMe Research Team, COGENT (Cognitive Genomics Consortium), Social Science Genetic Association Consortium, Alver, Maris, Bao, Yanchun, Clark, David W., Day, Felix R., Furlotte, Nicholas A., Joshi, Peter K. ... Cesarini, David (2018). Gene discovery and polygenic prediction from a genome-wide association study of educational attainment in 1.1 million individuals. Nature Genetics, 50 (8), 1112-1121. doi: 10.1038/s41588-018-0147-3
Qi, Ting, Wu, Yang, Zeng, Jian, Zhang, Futao, Xue, Angli, Jiang, Longda, Zhu, Zhihong, Kemper, Kathryn, Yengo, Loic, Zheng, Zhili, eQTLGen Consortium, Marioni, Riccardo E., Montgomery, Grant W., Deary, Ian J., Wray, Naomi R., Visscher, Peter M., McRae, Allan F. and Yang, Jian (2018). Identifying gene targets for brain-related traits using transcriptomic and methylomic data from blood. Nature Communications, 9 (1) 2282, 2282. doi: 10.1038/s41467-018-04558-1
Guo, Jing, Wu, Yang, Zhu, Zhihong, Zheng, Zhili, Trzaskowski, Maciej, Zeng, Jian, Robinson, Matthew R., Visscher, Peter M. and Yang, Jian (2018). Global genetic differentiation of complex traits shaped by natural selection in humans. Nature Communications, 9 (1) 1865, 1865. doi: 10.1038/s41467-018-04191-y
Wu, Yang, Zeng, Jian, Zhang, Futao, Zhu, Zhihong, Qi, Ting, Zheng, Zhili, Lloyd-Jones, Luke R., Marioni, Riccardo E., Martin, Nicholas G., Montgomery, Grant W., Deary, Ian J., Wray, Naomi R., Visscher, Peter M., McRae, Allan F. and Yang, Jian (2018). Integrative analysis of omics summary data reveals putative mechanisms underlying complex traits. Nature Communications, 9 (918) 918, 918. doi: 10.1038/s41467-018-03371-0
Zhu, Zhihong, Zheng, Zhili, Zhang, Futao, Wu, Yang, Trzaskowski, Maciej, Maier, Robert, Robinson, Matthew R., McGrath, John J, Visscher, Peter M, Wray, Naomi R and Yang, Jian (2018). Causal associations between risk factors and common diseases inferred from GWAS summary data. Nature Communications, 9 (1) 224, 224. doi: 10.1038/s41467-017-02317-2
Wu, Yang, Zheng, Zhili, Visscher, Peter M. and Yang, Jian (2017). Quantifying the mapping precision of genome-wide association studies using whole-genome sequencing data. Genome Biology, 18 (1) 86, 86. doi: 10.1186/s13059-017-1216-0
Yang, Jian, Jin, Zi-Bing, Chen, Jie, Huang, Xiu-Feng, Li, Xiao-Man, Liang, Yuan-Bo, Mao, Jian-Yang, Chen, Xin, Zheng, Zhili, Bakshi, Andrew, Zheng, Dong-Dong, Zheng, Mei-Qin, Wray, Naomi R., Visscher, Peter M., Lu, Fan and Qu, Jia (2017). Genetic signatures of high-altitude adaptation in Tibetans. Proceedings of the National Academy of Sciences, 114 (16), 4189-4194. doi: 10.1073/pnas.1617042114
Conference Papers
Mefford, Joel, Park, Danny, Zheng, Zhili, Ko, Arthur, Ala-Korpela, Mika, Laakso, Markku, Pajukanta, Paeivi, Yang, Jian, Witte, John and Zaitlen, Noah (2020). Efficient estimation and applications of cross-validated genetic predictions to polygenic risk scores and linear mixed models. New Rochelle, NY United States: Mary Ann Liebert. doi: 10.1089/cmb.2019.0325
Gratten, Jacob, Yang, Yuanhao, Trzaskowski, Maciej, Kemper, Kathryn, Yengo, Loic, Zheng, Zhili, Zhang, Futao, Zhu, Zhihong, Mcrae, Allan, Yang, Jian, Wray, Naomi and Visscher, Peter (2019). Common genetic variation explains a high proportion of the elevated risk of psychiatric disorders in children of younger mothers. 26th World Congress of Psychiatric Genetics (WCPG), Glasgow, Scotland, 11-15 October, 2018. Amsterdam, Netherlands: Elsevier BV. doi: 10.1016/j.euroneuro.2018.08.167
Colodro-Conde, Lucía, Couvy-Duchesne, Baptiste, Whitfield, John B., Streit, Fabian, Gordon, Scott, Kemper, Kathryn E., Yengo, Loic, Zheng, Zhili, Trzaskowski, Maciej, de Zeeuw, Eveline L., Nivard, Michel G., Das, Marjolijn, Neale, Rachel E., MacGregor, Stuart, Olsen, Catherine M., Whiteman, David C., Boomsma, Dorret I., Yang, Jian, Rietschel, Marcella, McGrath, John J., Medland, Sarah E. and Martin, Nicholas G. (2018). Association between population density and genetic risk for schizophrenia. Chicago, IL, United States: American Medical Association. doi: 10.1001/jamapsychiatry.2018.1581
Dataset Collection
Yang, Jian, Zheng, Zhili and Jiang, Longda (2019). UK Biobank GWAS results. UQ eSpace. (Dataset) doi: 10.14264/uql.2019.231